LLMWorkbook
LLMWorkbook
Effortlessly harness the power of LLMs on Excel and DataFrames—seamless, smart, and efficient!
Welcome to the LLMWorkbook documentation site! This site provides comprehensive documentation for integrating Large Language Models with your tabular data workflows.
Quick Navigation
- 📖 Documentation - Complete documentation and guides
- 🚀 Examples - Real-world usage examples
- 📦 Installation - Get started quickly
- 🔧 Provider Setup - Configure LLM providers
Installation
pip install llmworkbook
Key Features
- ✅ Easy DataFrame Integration - Map LLM responses to DataFrame columns
- ✅ Multiple LLM Providers - OpenAI, Anthropic, Ollama, GPT4All support
- ✅ Async Processing - High-performance batch operations
- ✅ Rich Progress Tracking - Beautiful console progress bars
- ✅ CLI Interface - Command-line tools included
Quick Example
from llmworkbook import LLMConfig, LLMRunner, LLMDataFrameIntegrator
import pandas as pd
# Configure LLM
config = LLMConfig(
provider="openai",
system_prompt="Analyze the data",
options={"model": "gpt-4o-mini"}
)
# Process DataFrame
runner = LLMRunner(config)
integrator = LLMDataFrameIntegrator(runner=runner, df=your_df)
result = integrator.add_llm_responses(
prompt_column="input_text",
response_column="llm_output",
async_mode=True
)